Data Engineer

Key Skills

Apache Hadoop, AWS, Azure, Big Data Technology, Data science techniques, Machine learning techniques, NoSQL, SPARK Programming, SQL

Job Description

In our line of work, life isn't a given - it's the ultimate goal. When life takes an unexpected turn, our technology and solutions enable caregivers to make informed diagnostic decisions to improve patient care. This is our shared purpose at Radiometer and what unites all +4000 of us - no matter our roles or where in the world we're located. Creating impactful innovations like ours, doesn't happen overnight - it requires uncompromising persistency, passion, and a desire to make a difference. Here, you can learn, grow, and chart an uncommonly diverse career.

Radiometer is proud to work alongside a community of six fellow Diagnostics Companies at Danaher. Together, we're working at the pace of change to improve patient lives with diagnostic tools that address the world's biggest health challenges.

This position is part of the Digital, Services and IT function located in Brønshøj and will be a hybrid role. At Radiometer, our vision is to improve global healthcare with reliable, fast, and easy patient diagnoses.

You will be a part of the Data & AI team and report to the head of the team responsible for the overall Data & AI delivery and strategy in Radiometer. If you thrive in a innovative and fast-paced role and want to work to build a world-class Data and AI products-read on.

Key responsibilities:

• Design, build, and maintain data pipelines and infrastructure to support advanced analytics and machine learning initiatives using Azure tech stack and Databricks.
• Collaborate with data scientists and machine learning specialists to understand data requirements and optimize data infrastructure to support their needs.
• Develop and maintain data models, data dictionaries, and other documentation to support data engineering and data warehousing practices using Azure tech stack and Databricks.
• Ensure data solutions are scalable, reliable, and secure.
• Develop and maintain data integration and migration strategies.
• Stay up to date with the latest data engineering and database management best practices.

Essential qualifications:

• Bachelor's or master's degree in computer science, Information Systems, or related field.
• Strong experience with data engineering, database management, and data warehousing best practices using Azure tech stack and Databricks.
• Strong experience with SQL, NoSQL, or related technologies
• Experience with big data technologies, such as Hadoop or Spark.

It would be a plus if you also possess previous experience in:

• Experience with machine learning and data science concepts.
• Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate or AWS Certified Big Data - Specialty.
• Interest in learning new areas and technologies like front-end development, GenAI, and so on.

If you are a data engineer with experience in designing and implementing scalable, efficient, and secure data solutions to support advanced analytics and machine learning initiatives using the Azure tech stack and Databricks, and have an interest in learning front-end development, data science, or a related field, we encourage you to apply for this exciting opportunity to support our mission to improve global healthcare.

Application

We continuously assess candidates and invite them for interviews, so please don't hesitate to write and send in the application.

We encourage you to apply before end of business on 25th April 2024. If you have questions, feel free to contact Data and Analytics Manager, Andreas Salk at andreas.salk@radiometer.dk. We look forward to seeing your application.

We thank you for your interest. Please read our Applicant Data Privacy Notice carefully here.

Hybrid

At Radiometer we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, hybrid working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a hybrid work arrangement in which you can work part-time at the Company location identified above and part-time remotely from your home. Additional information about this hybrid work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Radiometer can provide.